Synthesizing the domains of investigation highlighted in current research in distributed cognition and related fields, this paper offers an initial taxonomy of the overlapping types of resources which typically contribute to distributed or extended cognitive systems. It then outlines a number of key dimensions on which to analyse both the resulting integrated systems and the components which coalesce into more or less tightly coupled interaction over the course of their formation and renegotiation.

There are various philosophical approaches and theories describing the intimate relation people have to artifacts. In this paper, I explore the relation between two such theories, namely distributed cognition and distributed morality theory. I point out a number of similarities and differences in these views regarding the ontological status they attribute to artifacts and the larger systems they are part of. Having evaluated and compared these views, I continue by focussing on the way cognitive artifacts are used (...) in moral practice. I specifically conceptualise how such artifacts (a) scaffold and extend moral reasoning and decision-making processes, (b) have a certain moral status which is contingent on their cognitive status, and (c) whether responsibility can be attributed to distributed systems. This paper is primarily written for those interested in the intersection of cognitive and moral theory as it relates to artifacts, but also for those independently interested in philosophical debates in extended and distributed cognition and ethics of (cognitive) technology. (shrink)

According to the hypotheses of distributed and extended cognition, remembering does not always occur entirely inside the brain but is often distributed across heterogeneous systems combining neural, bodily, social, and technological resources. These ideas have been intensely debated in philosophy, but the philosophical debate has often remained at some distance from relevant empirical research, while empirical memory research, in particular, has been somewhat slow to incorporate distributed/extended ideas. This situation, however, appears to be changing, as we (...) witness an increasing level of interaction between the philosophy and the empirical research. In this editorial, we provide a high-level historical overview of the development of the debates around the hypotheses of distributed and extended cognition, as well as relevant theory and empirical research on memory, considering both the role of memory in theoretical debates around distributed/extended ideas and strands of memory research that resonate with those ideas; we emphasize recent trends towards increased interaction, including new empirical paradigms for investigating distributed memory systems. We then provide an overview of the special issue itself, drawing out a number of general implications from the contributions, and conclude by sketching promising directions for future research on distributed memory. (shrink)

We are quickly passing through the historical moment when people work in front of a single computer, dominated by a small CRT and focused on tasks involving only local information. Networked computers are becoming ubiquitous and are playing increasingly significant roles in our lives and in the basic infrastructure of science, business, and social interaction. For human-computer interaction o advance in the new millennium we need to better understand the emerging dynamic of interaction in which the focus task is no (...) longer confined to the desktop but reaches into a complex networked world of information and computer-mediated interactions. We think the theory of distributed cognition has a special role to play in understanding interactions between people and technologies, for its focus has always been on whole environments: what we really do in them and how we coordinate our activity in them. Distributed cognition provides a radical reorientation of how to think about designing and supporting human-computer interaction. As a theory it is specifically tailored to understanding interactions among people and technologies. In this article we propose distributed cognition as a new foundation for human-computer interaction, sketch an integrated research framework, and use selections from our earlier work to suggest how this framework can provide new opportunities in the design of digital work materials. (shrink)

This article describes a representation-based framework of distributed cognition. This framework considers distributed cognition as a cognitive system whose structures and processes are distributed between internal and external representations, across a group of individuals, and across space and time. The major issue for distributed research, under this framework, are the distribution, transformation, and propagation of information across the components of the distributed cognitive system and how they affect the performance of the system as (...) a whole. To demonstrate the value of this representation-based approach, the framework was used to describe and explain an important, challenging, and controversial issue — the concept of affordance. (shrink)

Human beings are promiscuously social creatures, and contemporary epistemologists are increasingly becoming aware that this shapes the ways in which humans process information. This awareness has tended to restrict itself, however, to testimony amongst isolated dyads. As scientific practice ably illustrates, information-processing can be spread over a vast social network. In this essay, a credit theory of knowledge is adapted to account for the normative features of strongly distributed cognition. A typical credit theory analyzes knowledge as an instance (...) of obtaining success because of or through the ability of the individual knower. The extended credit theory developed here broadens this framework so as to accommodate team-like epistemic achievements. The extended credit theory is then contrasted with some similar proposals given from within a process reliabilist framework. Once one isolates pairs of cases of distributed cognition in which there is a difference between sheer reliability and reliability grounded in ability, one can see that the extended credit theory maps the normative terrain better than the alternatives. (shrink)

Distributed cognition is widely recognized as an approach to the study of all cognition. It identifies the distribution of cognitive processes between persons and technology, among people, and across time in the development of the social and material contexts for thinking. This paper suggests an ectoderm-centric perspective as the basis for distributed cognition, and in so doing redefines distributed cognition as the ability of an organism to interact with its environment for the purpose (...) of satisfying its most basic physiological (internal and external) and social needs in order to survive and sustain itself. Underlying this ectoderm-centric perspective is a proposed theory of reactive and interactive learning. (shrink)

Humans are closely coupled with their environments. They rely on being ‘embedded’ to help coordinate the use of their internal cognitive resources with external tools and resources. Consequently, everyday cognition, even cognition in the absence of others, may be viewed as partially distributed. As cognitive scientists our job is to discover and explain the principles governing this distribution: principles of coordination, externalization, and interaction. As designers our job is to use these principles, especially if they can be (...) converted to metrics, in order to invent and evaluate candidate designs. After discussing a few principles of interaction and embedding I discuss the usefulness of a range of metrics derived from economics, computational complexity, and psychology. (shrink)

Among the many contested boundaries in science studies is that between the cognitive and the social. Here, we are concerned to question this boundary from a perspective within the cognitive sciences based on the notion of distributed cognition. We first present two of many contemporary sources of the notion of distributed cognition, one from the study of artificial neural networks and one from cognitive anthropology. We then proceed to reinterpret two well-known essays by Bruno Latour, ‘Visualization (...) and Cognition: Thinking with Eyes and Hands’ and ‘Circulating Reference: Sampling the Soil in the Amazon Forest’. In both cases we find the cognitive and the social merged in a system of distributed cognition without any appeal to agonistic encounters. For us, results do not come to be regarded as veridical because they are widely accepted; they come to be widely accepted because, in the context of an appropriate distributed cognitive system, their apparent veracity can be made evident to anyone with the capacity to understand the workings of the system. (shrink)

In earlier works, I have argued that it is useful to think of much scientific activity, particularly in experimental sciences, as involving the operation of distributed cognitive systems, as these are understood in the contemporary cognitive sciences. Introducing a notion of distributed cognition, however, invites consideration of whether, or in what way, related cognitive activities, such as knowing, might also be distributed. In this paper I will argue that one can usefully introduce a notion of (...) class='Hi'>distributed cognition without attributing other cognitive attributes, such as knowing, let alone having a mind or being conscious, to distributed cognitive systems. I will first briefly introduce the cognitive science understanding of distributed cognition, partly so as to distinguish full-blown distributed cognition from mere collective cognition.1. (shrink)

Distributed cognition refers to processes which are (i) cognitive and (ii) distributed across multiple agents or devices rather than performed by a single agent. Distributed cognition has attracted interest in several fields ranging from sociology and law to computer science and the philosophy of science. In this paper, I discuss distributed cognition from a social-choice-theoretic perspective. Drawing on models of judgment aggregation, I address two questions. First, how can we model a group of (...) individuals as a distributed cognitive system? Second, can a group acting as a distributed cognitive system be ‘rational’ and ‘track the truth’ in the outputs it produces? I argue that a group’s performance as a distributed cognitive system depends on its ‘aggregation procedure’ – its mechanism for aggregating the group members’ inputs into collective outputs – and I investigate the properties of an aggregation procedure that matter. (shrink)

Recent scientific findings about human decision making would seem to threaten the traditional concept of the individual conscious will. The will is threatened from "below" by the discovery that our apparently spontaneous actions are actually controlled and initiated from below the level of our conscious awareness, and from "above" by the recognition that we adapt our actions according to social dynamics of which we are seldom aware. In Distributed Cognition and the Will, leading philosophers and behavioral scientists consider (...) how much, if anything, of the traditional concept of the individual conscious will survives these discoveries, and they assess the implications for our sense of freedom and responsibility. The contributors all take science seriously, and they are inspired by the idea that apparent threats to the cogency of the idea of will might instead become the basis of its reemergence as a scientific subject. They consider macro-scale issues of society and culture, the micro-scale dynamics of the mind/brain, and connections between macro-scale and micro-scale phenomena in the self-guidance and self-regulation of personal behavior. Contributors: George Ainslie, Wayne Christensen, Andy Clark, Paul Sheldon Davies, Daniel C. Dennett, Lawrence A. Lengbeyer, Dan Lloyd, Philip Pettit, Don Ross, Tamler Sommers, Betsy Sparrow, Mariam Thalos, Jeffrey B. Vancouver, Daniel M. Wegner, Tadeusz W. ZawidzkiDon Ross is Professor of Philosophy and Professor of Finance, Economics, and Quantitative Methods at the University of Alabama at Birmingham and Professor of Economics at the University of Cape Town, South Africa. David Spurrett is Professor of Philosophy at the Howard College Campus of the University of KwaZulu-Natal, South Africa. Harold Kincaid is Professor and Chair of the Department of Philosophy and Director of the Center for Ethics and Values in the Sciences at the University of Alabama at Birmingham. G. Lynn Stephens is Professor of Philosophy at the University of Alabama at Birmingham. (shrink)

Even though it has been argued that scientific cognition is distributed, there is no consensus on the exact nature of distributed cognition. This paper aims to characterize distributed cognition as appropriate for philosophical studies of science. I first classify competing characterizations into three types: the property approach, the task approach, and the system approach. It turns out that the property approach and the task approach are subject to criticism. I then argue that the most (...) preferable way to understand distributed cognition in science is provided by the system approach that takes a distributed-cognitive system as the unit of analysis. I clarify this position by considering possible objections and replies. (shrink)

This paper shows that recent arguments from group problem solving and task performance to emergent group level cognition that rest on the social parity and related principles are invalid or question begging. The paper shows that standard attributions of problem solving or task performance to groups require only multiple agents of the outcome, not a group agent over and above its members, whether or not any individual member of the group could have accomplished the task independently.

This article describes a representation-based framework of distributed cognition. This framework considers distributed cognition as a cognitive system whose structures and processes are distributed between internal and external representations, across a group of individuals, and across space and time. The major issue for distributed research, under this framework, are the distribution, transformation, and propagation of information across the components of the distributed cognitive system and how they affect the performance of the system as (...) a whole. To demonstrate the value of this representation-based approach, the framework was used to describe and explain an important, challenging, and controversial issue — the concept of affordance. (shrink)

In this article we use a hybrid methodology to better understand the skilful performance of sports teams as an exemplar of distributed cognition. We highlight key differences between a team of individual experts and an expert team, and outline the kinds of shared characteristics likely to be found in an expert team. We focus on the way that shared knowledge contributes to expert team performance. In particular, we suggest that certain kinds of shared knowledge and shared skill, potentially (...) developed through a team’s history of playing and training together, facilitate successful coordination. These kinds of shared knowledge and skill may be less developed in a team of experts without a shared history. Exploring the expert performance of sports teams informs our understanding of distributed cognition and collaboration more generally and creates avenues for further philosophical and empirical investigation. (shrink)

The examination of a scene of crime provides both an interesting case study and analogy for consideration of Distributed Cognition. In this paper, Distribution is defined by the number of agents involved in the criminal justice process, and in terms of the relationship between a Crime Scene Examiner and the environment being searched.

The organism-in-its-environment is recognized as the basic unit of analysis when dealing with living beings. This paper seeks to define the fundamental implications of the concept of the organism-in-its-environment in terms of the biosemiotic concept of human distributed cognition. Human distributed cognition in a biosemiotic context is defined as the ability of a self-referencing organism-in-its-environment to interact with its environment to satisfy its physiological and social needs to survive and sustain itself. The ontogenetic development of the (...) organism-in-its-environment serves as the backdrop to discover the implications of distributed cognition that have general applicability in organisms, but in this paper, are made relevant to human beings. (shrink)

While, prima facie, virtue/credit approaches in epistemology would appear to be in tension with distributed/extended approaches in cognitive science, Pritchard () has recently argued that the tension here is only apparent, at least given a weak version of distributed cognition, which claims merely that external resources often make critical contributions to the formation of true belief, and a weak virtue theory, which claims merely that, whenever a subject achieves knowledge, his cognitive agency makes a significant contribution to (...) the formation of a true belief. But the significance of the role played by the subject's cognitive agency in distributed cognitive systems is in fact highly variable: at one extreme, formation of a true belief seems clearly to be significantly creditable to the subject's agency; at the other extreme, however, the subject's agency plays such a peripheral role that it is at best unclear whether it should receive significant credit for formation of a true belief. The compatibility of distributed cognition and virtue epistemology thus turns on what it takes for a contribution to the formation of true belief to count as significant. This article argues that the inevitable vagueness of this notion suggests retreating from virtue epistemology to a form of process reliabilism and explores the prospects for a distributed reliabilist epistemology designed to fit smoothly with distributed cognition. In effect, distributed reliabilism radicalizes Goldberg's recent extended reliabilist view by allowing the process the reliability of which determines the epistemic status of a subject's belief to extend to include not only processing performed by other subjects but also processing performed by non-human technological resources. (shrink)

Distributed cognition provides a theoretical framework for the analysis of data from socio-technical systems within a problem-solving framework. While the approach has been applied in tightly constrained activity domains, composed of well-structured problems and highly organised infrastructures, little is known about its use in other forms of activity systems. In this paper, we explore how distributed cognition could be applied in less well-constrained settings, with ill-structured problems and loosely organised resource sets, critically reflecting on this using (...) data from a field study. The findings suggest that the use of distributed cognition in an augmented form can be useful in the analysis of a wide range of activity systems in loosely coupled settings. (shrink)

Philosophers and behavioral scientists discuss what, if anything, of the traditionalconcept of individual conscious will can survive recent scientific discoveries that humandecision-making is distributed across different brain processes and ...

Distributed cognition (d-cog) claims that many cognitive processes are distributed across groups and the surrounding material and cultural environment. Recently, Nancy Nersessian, Ronald Giere, and others have suggested that a d-cog approach might allow us to bring together cognitive and social theories of science. I explore this idea by focusing on the specific interpretation of d-cog found in Edwin Hutchins' canonical text Cognition in the wild. First, I examine the scope of a d-cog approach to science, (...) showing that there are important disputes between cognitive and social theorists on which d-cog remains silent. Second, I suggest that, where social explanations can be recast in d-cog terms, this reformulation will not be acceptable to all social theorists. Finally, I ask how we should make sense of the claim that, on a d-cog analysis, social factors are cognitive factors. (shrink)

We historically and conceptually situate distributed cognition by drawing attention to important similarities in assumptions and methods with those of American ?functional psychology? as it emerged in contrast and complement to controlled laboratory study of the structural components and primitive ?elements? of consciousness. Functional psychology foregrounded the adaptive features of cognitive processes in environments, and adopted as a unit of analysis the overall situation of organism and environment. A methodological implication of this emphasis was, to the extent possible, (...) the study of cognitive and other processes in the natural (real world) contexts in which they occur. We therefore emphasize commonalities and differences between functional psychology and D-Cog. One purpose of the comparison is to consider the extent to which criticisms directed at functional psychology are relevant to D-Cog. We also examine the relation between functional psychology and philosophical pragmatism and conclude that D-Cog's conceptual framework would be strengthened through more explicit adoption of philosophical pragmatism, consistent with the eventual trajectory of functional psychology. (shrink)

Metacognition is associated with planning, monitoring, evaluating and repairing performance Designers of elearning systems can improve the quality of their environments by explicitly structuring the visual and interactive display of learning contexts to facilitate metacognition. Typically page layout, navigational appearance, visual and interactivity design are not viewed as major factors in metacognition. This is because metacognition tends to be interpreted as a process in the head, rather than an interactive one. It is argued here, that cognition and metacognition are (...) part of a continuum and that both are highly interactive. The tenets of this view are explained by reviewing some of the core assumptions of the situated and distribute approach to cognition and then further elaborated by exploring the notions of active vision, visual complexity, affordance landscape and cue structure. The way visual cues are structured and the way interaction is designed can make an important difference in the ease and effectiveness of cognition and metacognition. Documents that make effective use of markers such as headings, callouts, italics can improve students' ability to comprehend documents and 'plan' the way they review and process content. Interaction can be designed to improve 'the proximal zone of planning' - the look ahead and apprehension of what is nearby in activity space that facilitates decisions. This final concept is elaborated in a discussion of how e-newspapers combine effective visual and interactive design to enhance user control over their reading experience. (shrink)

Some of the papers in this special issue distribute cognition between what is going on inside individual cognizers' heads and their outside worlds; others distribute cognition among different individual cognizers. Turing's criterion for cognition was individual, autonomous input/output capacity. It is not clear that distributed cognition could pass the Turing Test.

Aoki recently proposed the concept of substantive institutions, a concept that relates the outcomes of strategic interaction with public representations of the equilibrium states of games. I argue that the Aoki model can be grounded in theories of distributed cognition and performativity, which I put into the context of Searle's philosophical account of institutions. Substantive institutions build on regularized causal interactions between internal neuronal mechanisms and external facts, shared in a population of agents. Following Searle's proposal of conceiving (...) rule-following as a neuronally anchored behavioral disposition, I show that his corresponding notion of collective intentionality can be grounded in recent neuroscience theories of imitation as the primordial process in human learning. I relate this to Searle's concept of status function and the neuronal theory of metaphors. This results in a precise definition of rule-following as performative action. I present two empirical examples of this: (1) the institution of money, and (2) status hierarchies in markets. (shrink)

I want to make plausible the following claim:Analyzing scientific inquiry as a species of socially distributed cognition has a variety of advantages for science studies, among them the prospects of bringing together philosophy and sociology of science. This is not a particularly novel claim, but one that faces major obstacles. I will retrace some of the major steps that have been made in the pursuit of a distributed cognition approach to science studies, paying special attention to (...) the promise that such an approach holds out for bridging the rift between philosophy and the social studies of science. (shrink)

In Epistemic Cultures (1999), Karin Knorr Cetina argues that different scientific fields exhibit different epistemic cultures. She claims that in high energy physics (HEP) individual persons are displaced as epistemic subjects in favor of experiments themselves. In molecular biology (MB), by contrast, individual persons remain the primary epistemic subjects. Using Ed Hutchins' (1995) account of navigation aboard a traditional US Navy ship as a prototype, I argue that both HEP and MB exhibit forms of distributed cognition. That is, (...) in both fields cognition is distributed across individual persons and complex artifacts. The cognitive system producing the knowledge is heterogeneous. Nevertheless, in both fields we can reserve epistemic agency for the human components of these systems. We do not need to postulate new distributed cognitive agents, let alone ones exhibiting new forms of consciousness. (shrink)

Some of the papers in this Special Issue distribute cognition between what is going on inside individual cognizers' heads and their outside worlds; others distribute cognition among different individual cognizers. Turing's criterion for cognition was for individual, autonomous input/output capacity. It is not clear that distributed cognition could pass the Turing Test.

At issue is the usefulness of a concept of distributed cognition for the philosophy of science. I have argued for the desirability of regarding scientific systems such as the Hubble Space Telescope as distributed cognitive systems. But I disagree with those who would ascribe cognitive states, such as knowledge, to such systems as a whole, and insist that cognitive states are ascribable only to the human components of such systems. Vaesen, appealing to a well-known ?parity principle,? insists (...) that if there is a distributed cognitive system, it must have cognitive states. Otherwise, we are left with only the cognitive states of individual humans who are then not part of a distributed cognitive system. I argue that Vaesen has misinterpreted the parity principle, which, in any case, I reject, and go on to argue for an understanding of scientific cognition as human centered even though not human bound. (shrink)

Memory is studied at a bewildering number of levels, with a vast array of methods, and in a daunting range of disciplines and subdisciplines. Is there any sense in which these various memory theorists – from neurobiologists to narrative psychologists, from the computational to the cross-cultural – are studying the same phenomena? In this exploratory position paper, I sketch the bare outline of a positive framework for understanding current work on constructive remembering, both within the various cognitive sciences, and across (...) gulfs between the cognitive and the social sciences. I pinpoint some lines of psychological theory and research which offer promising and compatible ways of thinking about individual memory and shared or social memory simultaneously. These are obviously ambitious projects, and this paper seeks more to elicit help with forging these connections than to present firm results. The aim is to draw out some consequences of empirical work on social memory and in developmental psychology. (shrink)

Metacognition is associated with planning, monitoring, evaluating and repairing performance Designers of elearning systems can improve the quality of their environments by explicitly structuring the visual and interactive display of learning contexts to facilitate metacognition. Typically page layout, navigational appearance, visual and interactivity design are not viewed as major factors in metacognition. This is because metacognition tends to be interpreted as a process in the head, rather than an interactive one. It is argued here, that cognition and metacognition are (...) part of a continuum and that both are highly interactive. The tenets of this view are explained by reviewing some of the core assumptions of the situated and distribute approach to cognition and then further elaborated by exploring the notions of active vision, visual complexity, affordance landscape and cue structure. The way visual cues are structured and the way interaction is designed can make an important difference in the ease and effectiveness of cognition and metacognition. Documents that make effective use of markers such as headings, callouts, italics can improve students’ ability to comprehend documents and ‘plan’ the way they review and process content. Interaction can be designed to improve ‘the proximal zone of planning’ – the look ahead and apprehension of what is nearby in activity space that facilitates decisions. This final concept is elaborated in a discussion of how e-newspapers combine effective visual and interactive design to enhance user control over their reading experience. (shrink)

As is often the case when scientific or engineering fields emerge, new concepts are forged or old ones are adapted. When this happens, various arguments rage over what ultimately turns out to be conceptual misunderstandings. At that critical time, there is a need for an explicit reflection on the meaning of the concepts that define the field. In this position paper, we aim to provide a reasoned framework in which to think about various issues in the field of distributed (...) cognition. We argue that both relevant concepts, distribution and cognition, must be understood as continuous. As it is used in the context of distributed cognition, the concept of distribution is essentially fuzzy, and we will link it to the notion of emergence of system-level properties. The concept of cognition must also be seen as fuzzy, but for a different reason: due to its origin as an anthropocentric concept, no one has a clear handle on its meaning in a distributed setting. As the proposed framework forms a space, we then explore its geography and visit famous landmarks. (shrink)

Strong epistemic anti-individualism—i.e., the claim that knowledge can be irreducibly social—is increasingly debated within mainstream and social epistemology. Most existing approaches attempt to argue for the view on the basis of aggregative analyses, which focus on the way certain groups aggregate the epistemic attitudes of their members. Such approaches are well motivated, given that many groups to which we often ascribe group knowledge—such as juries and committees—operate in this way. Yet another way that group knowledge can be generated is on (...) the basis of epistemic collaborations, such as scientific research teams and Transactive Memory Systems. To produce knowledge, epistemic collaborations rely heavily on the mutual interactions of their group members. This is a distinctive feature of epistemic collaborations that renders them resistant to aggregative analyses. To accommodate this kind of group knowledge, the paper combines virtue reliabilism with the hypothesis of distributed cognition in order to introduce the hybrid approach of distributed virtue reliabilism. On this view, beliefs produced by epistemic collaborations entertain positive epistemic standing in virtue of the mutual interactions of their group members; this positive epistemic standing is a collective property; epistemic collaborations qualify as epistemic group agents; collaborative knowledge is a special kind of group knowledge, motivating strong epistemic anti-individualism in a distinctive way. (shrink)

Crime scene investigation is a form of Distributed Cognition. The principal concept we explore in this paper is that of `resource for action'. It is proposed that crime scene investigation employs four primary resources-for-action: the environment, or scene itself, which affords particular forms of search and object retrieval; the retrieved objects, which afford translation into evidence; the procedures that guide investigation, which both constrain the search activity and also provide opportunity for additional activity; the narratives that different agents (...) within the system produce to develop explanatory models and formal accounts of the crime. For each aspect of distributed cognition, we consider developments in technology that could support activity. (shrink)

Crime scene investigation is a form of Distributed Cognition. The principal concept we explore in this paper is that of `resource for action'. It is proposed that crime scene investigation employs four primary resources-for-action: the environment, or scene itself, which affords particular forms of search and object retrieval; the retrieved objects, which afford translation into evidence; the procedures that guide investigation, which both constrain the search activity and also provide opportunity for additional activity; the narratives that different agents (...) within the system produce to develop explanatory models and formal accounts of the crime. For each aspect of distributed cognition, we consider developments in technology that could support activity. (shrink)

The paper discusses recent developments in web technologies based on collaborative tagging. This approach is seen as a tremendously powerful way to coordinate the ontologies and views of a large number of individuals, thus constituting the most successful tool for distributed cognition so far.

Distributed Cognition is a hybrid approach to studying all aspects of cognition, from a cognitive, social and organisational perspective. The most well known level of analysis is to account for complex socially distributed cognitive activities, of which a diversity of technological artefacts and other tools and representations are an indispensable part.

This article argues for a task-based approach to identifying and individuating cognitive systems. The agent-based extended cognition approach faces a problem of cognitive bloat and has difficulty accommodating both sub-individual cognitive systems ("scaling down") and some supra-individual cognitive systems ("scaling up"). The standard distributed cognition approach can accommodate a wider variety of supra-individual systems but likewise has difficulties with sub-individual systems and faces the problem of cognitive bloat. We develop a task-based variant of distributed cognition (...) designed to scale up and down smoothly while providing a principled means of avoiding cognitive bloat. The advantages of the task-based approach are illustrated by means of two parallel case studies: re-representation in the human visual system and in a biomedical engineering laboratory. (shrink)

This paper investigates the notion of ‘distributed cognition’—the idea that entities external to one’s organic brain participate in one’s overall cognitive functioning—and the challenges it poses to the notion of personhood. Related to this is also a consideration of the ever-increasing ways in which neuroprostheses replace and functionally replicate organic parts of the brain. However, the literature surrounding such issues has tended to take an almost exclusively physicalist approach. The common assumption is that, given that non-physicalist theories (chiefly, (...) dualism, and hylomorphism) postulate some form of immaterial ‘soul’, then they are immune from the challenges that these advances in cognitive science pose. The first aim of this paper, therefore, is to argue that this is not the case. The second aim of this paper is to attempt to elucidate a route available for the non-physicalists that will allow them to accept the notion of distributed cognition. By appealing to an Aristotelian framework, I propose that the non-physicalist can accept the notion of distributed cognition by appealing to the notion of ‘unitary life’ which I introduce, as well as to Aristotle’s dichotomy between active and passive mind. (shrink)

The paper discusses recent developments in web technologies based on collaborative tagging. This approach is seen as a tremendously powerful way to coordinate the ontologies and views of a large number of individuals, thus constituting the most successful tool for distributed cognition so far.

One approach to science treats science as a cognitive accomplishment of individuals and defines a scientific community as an aggregate of individual inquirers. Another treats science as a fundamentally collective endeavor and defines a scientist as a member of a scientific community. Distributed cognition has been offered as a framework that could be used to reconcile these two approaches. Adam Toon has recently asked if the cognitive and the social can be friends at last. He answers that they (...) probably cannot, posing objections to the would-be rapprochement. We clarify both the animosity and the tonic proposed to resolve it, ultimately arguing that worries raised by Toon and others are uncompelling. (shrink)

Ronald Giere embraces the perspective of distributed cognition to think about cognition in the sciences. I argue that his conception of distributed cognition is flawed in that it bears all the marks of its predecessor; namely, individual cognition. I show what a proper (i.e. non-individual) distributed framework looks like, and highlight what it can and cannot do for the philosophy of science.

This article analyzes three approaches to resolving the classical Meno paradox, or its variant, the learning paradox, emphasizing Charles S. Peirce’s notion of abduction. Abduction provides a way of dissecting those processes where something new, or conceptually more complex than before, is discovered or learned. In its basic form, abduction is a “weak” form of inference, i.e., it gives only tentative suggestions for further investigation. But it is not too weak if various sources of clues and restrictions on the abductive (...) search are taken into account. We present three, complementary versions of abduction: as a sort of guessing instinct or expert-like intuition, where unconscious clues are important; as a form of inference, where a strategic point of view is essential; and as a part of distributed cognition and mediated activity, where the interaction with the material, social, and cultural environment is emphasized. Our starting point is Peirce’s own notion of abduction, but we broaden the perspective, especially to the direction of distributed cognition. (shrink)